If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

Responsibilities

In our team you will:

• Be at the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
• Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
• Be working with famous brands and household names – no worrying about how to explain what you do to your family again!
• Develop your skills with our world class training programmes.
• Drive and implement real world solutions into production that drive business value to our clients.
• Work alongside global teams to collaborate and deliver the best solutions for our clients.
• Drive your career progression via our structured career development programs.
• Align with our industry partners to develop your career and the solutions we deliver for our clients.

Key Tasks

In this role you will:

• Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.
• Understand business requirements and support the development of business cases.
• Run discovery analytics to identify new and innovative opportunities.
• Partner with developers and engineers to deploy machine learning algorithms to deliver business value.
• Define approaches to embed and scale machine learning models.
• Build reusable assets, solutions and develop best practices for current and future business problems.
• Consult on complex analyses and advanced machine learning methods.
• Communicate and provide guidance to senior client leadership and teams.
• Contribute data science expertise to new sales activities.
• Shape DS Strategy and the delivery of DS solutions.
• Operate across multiple industries and functions.
• Develop others by bringing your unique knowledge and skillsets to the wider practice.

Required Skills

We are looking for experience in the following skills:

• Relevant work experience in data science, machine learning, and business analytics
• Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred)
• Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.
• Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc.
• Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.
• Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
• Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.
• Experience of using Cloud technologies eg. AWS, GCP or Azure.
• Specialised visualisation techniques eg. D3.js, ggplot etc.
• Strong verbal/written communication & data presentation skills
• Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field

What Sets You Apart

Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics

Benefits

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice!